Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide

Hung Ya Tsai; Yamato Kuwahara; Yuya leiri; Reiko Hishiyama

doi:10.1007/978-3-030-28011-6_7

Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide

Hung Ya Tsai^*, Yamato Kuwahara, Yuya leiri, Reiko Hishiyama

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

In this paper, we describe the structure of a Vision-Based Indoor Positioning (VBIP) system which is a pure software solution without any hardware deployment. We conducted an experiment by providing our VBIP system to navigate visitors through three different buildings with a total length over 350 m during Science and Technology Festival 2018 at Waseda University. This large scale experiment pointed out our incomprehensive thinking while designing the algorithm only based on human behavior, and motivated us to remodify our algorithm based on natural features in the environment. We further conducted another experiment and found out that our VBIP system is improved. VBIP system can now reduce the drift error of VIO (Visual Inertial Odometry) to around 1.4% for over 350 m tracking. For the experiment result, we believe that VBIP is one step closer to perfection.

Original language	English
Title of host publication	Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings
Editors	Hideyuki Nakanishi, Hironori Egi, Irene-Angelica Chounta, Hideyuki Takada, Satoshi Ichimura, Ulrich Hoppe
Publisher	Springer Verlag
Pages	96-109
Number of pages	14
ISBN (Print)	9783030280109
DOIs	https://doi.org/10.1007/978-3-030-28011-6_7
Publication status	Published - 2019
Event	25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019 - Kyoto, Japan Duration: 2019 Sept 4 → 2019 Sept 6

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11677 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019
Country/Territory	Japan
City	Kyoto
Period	19/9/4 → 19/9/6

Keywords

Augmented Reality
Computer vision
Indoor navigation

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-28011-6_7

Cite this

Tsai, H. Y., Kuwahara, Y., leiri, Y., & Hishiyama, R. (2019). Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide. In H. Nakanishi, H. Egi, I-A. Chounta, H. Takada, S. Ichimura, & U. Hoppe (Eds.), Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings (pp. 96-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11677 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-28011-6_7

Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide. / Tsai, Hung Ya; Kuwahara, Yamato; leiri, Yuya et al.
Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings. ed. / Hideyuki Nakanishi; Hironori Egi; Irene-Angelica Chounta; Hideyuki Takada; Satoshi Ichimura; Ulrich Hoppe. Springer Verlag, 2019. p. 96-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11677 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tsai, HY, Kuwahara, Y, leiri, Y & Hishiyama, R 2019, Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide. in H Nakanishi, H Egi, I-A Chounta, H Takada, S Ichimura & U Hoppe (eds), Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11677 LNCS, Springer Verlag, pp. 96-109, 25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019, Kyoto, Japan, 19/9/4. https://doi.org/10.1007/978-3-030-28011-6_7

Tsai HY, Kuwahara Y, leiri Y , Hishiyama R. Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide. In Nakanishi H, Egi H, Chounta I-A, Takada H, Ichimura S, Hoppe U, editors, Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings. Springer Verlag. 2019. p. 96-109. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-28011-6_7

Tsai, Hung Ya ; Kuwahara, Yamato ; leiri, Yuya et al. / Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide. Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings. editor / Hideyuki Nakanishi ; Hironori Egi ; Irene-Angelica Chounta ; Hideyuki Takada ; Satoshi Ichimura ; Ulrich Hoppe. Springer Verlag, 2019. pp. 96-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Vision-based indoor positioning (VBIP) - An indoor ar navigation system with a virtual tour guide

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